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Programming a simple Classifier using TensorFlow and R: R Language provides interface for TensorFlow. Using this interface, it is possible to create very deep neural networks. However, to create quick and dirty and easy classifier, one can use the TensorFlow Estimators.

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Programming a simple Predictor using TensorFlow and R: R Language provides interface for TensorFlow. Using this interface, it is possible to create very deep neural networks. However, to create quick and dirty and easy predictors, one can use the TensorFlow Estimators.

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Programming a simple Predictor using TensorFlow and R: R Language provides interface for TensorFlow. Using this interface, it is possible to create very deep neural networks. However, to create quick and dirty and easy predictors, one can use the TensorFlow Estimators.

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Data Analysis with R using data stored in Relational Databases is discussed in this article. I use RJDBC for connecting to the Database using R, IBM DB2 on Bluemix as the Relational Database and ggplot2 for Data Visualisation.

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Social Network Analysis (SNA) provides a lot of insights which can be used for Marketing, Promotion, Business Planning, etc. The first step to SNA is to be able to visualise the network. Here I explain how this can be done for LinkedIn network.